Triple
T21509986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Right |
E530690
|
entity |
| Predicate | translatedFrom |
P2303
|
FINISHED |
| Object | Rudé právo |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rudé právo | Statement: [Red Right, translatedFrom, Rudé právo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudé právo Context triple: [Red Right, translatedFrom, Rudé právo]
-
A.
Rudé právo
chosen
Rudé právo was the official daily newspaper and primary propaganda organ of the Communist Party in Czechoslovakia.
-
B.
Zakonopravilo
Zakonopravilo is a medieval Serbian legal and ecclesiastical code compiled by Saint Sava that became the foundational law book of the Serbian Orthodox Church and medieval Serbian state.
-
C.
Za Pravdu
Za Pravdu is a political party in the Czech Republic known for its nationalist and conservative positions.
-
D.
Stare Juchy
Stare Juchy is a village in northern Poland known for its lakeside setting and rural character within the Warmian-Masurian Voivodeship.
-
E.
Glavlit
Glavlit was the Soviet state censorship agency responsible for controlling and suppressing information in publications, media, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.